Abstract:

The following paper describes the process of designing and implementing machine learning models that allow for the recognition of flower species using images. First, the types of machine learning are briefly characterized. Then, the data set on which the experiments were performed is mentioned. The computational technologies used in the experiment are also described. Finally, two neural network models were created and tested - one based on the classifier and one on the convolutional neural network.